Both the Naïve Bayesian and the decision trees algorithms are classification algorithms. A Naïve Bayesian predictive model serves as a good benchmark for comparison to other models, while the decision trees algorithm is the most intuitive and widely applied algorithm. Which one has the best accuracy?

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